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Quick image dehazing method on basis of image textures

An image texture and image technology, applied in the field of image processing, can solve the problems of not being able to handle dense fog images well, unable to realize real-time image processing, restricting application, etc. Effect

Inactive Publication Date: 2012-11-07
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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AI Technical Summary

Problems solved by technology

The prior information of the Fattal method is to assume that the ambient light component and the reflected light component of the object surface are irrelevant. The image restored by this method has a certain degree of authenticity, but it cannot handle dense fog images very well.
The He method is based on the prior information of the dark channel, and the restored image quality is more realistic, but the operation is complex and the amount of calculation is large, and it cannot process the image in real time, which restricts its application in practice.

Method used

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  • Quick image dehazing method on basis of image textures
  • Quick image dehazing method on basis of image textures
  • Quick image dehazing method on basis of image textures

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Embodiment Construction

[0045] This embodiment uses the simulation program developed by matlab2010b. On a PC platform with dual-core 2.5GCPU and 2G memory, for example figure 2 The image of 240*320 pixels shown is dehazed, and the specific steps are as follows figure 1 shown.

[0046] Step 1: Estimate the atmospheric ambient light A. Specifically include the following sub-steps:

[0047] Step 1: By performing sliding block processing on the input image, the dark channel Dark(x) of the input image I(x) can be obtained, such as image 3 Dark channel plot of the input image shown. The dark channel Dark(x) of the input image I(x) can be obtained as follows:

[0048] Dark ( x ) = min c ∈ { r , g , b } ( min ...

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Abstract

The invention provides a quick image dehazing method on the basis of image textures, which includes the following steps: step I, estimating the atmospheric environment light of an input image I (x); step II, estimating the transmission matrix t (x) of the input image I (x); and step III, regaining the dehazed image as per the atmospheric environment light and the transmission matrix t (x). In the step II, according to the edge detection result of the input image, a size-changeable sliding block is used for obtaining the rough transmission matrix, namely the smaller sliding block is used for precise processing at regions where the depth of field changes suddenly, and a larger sliding block is used at regions where the depth of field changes slightly, so that the operation speed is improved. The result obtained through the changeable sliding block is more precise than that obtained through a fixed block, and the result of the rough transmission matrix can be directly used for post processing.

Description

technical field [0001] The invention belongs to image processing technology, in particular to an image defogging method. Background technique [0002] Under foggy conditions, images taken in outdoor scenes are often affected by impurities in the atmosphere, resulting in color distortion, reduced contrast, and blurred objects, which affects the use of visual systems such as video surveillance and target recognition in outdoor scenes. Suspended particles in the air, such as dust, fog, etc., will cause dispersion and attenuation of the real reflected light on the surface of the object, resulting in distortion of the color of the object. Moreover, these suspended particles will reflect atmospheric ambient light, and the atmospheric ambient light component will reduce the contrast of the image after entering the visual system. Dehazing has a wide range of applications in the fields of image processing and computer vision, and has important research significance and practical val...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 李宏亮韩子奇
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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